Mutation Free Energy Calculations using BioExcel Building Blocks (biobb)

Workflow Type: Jupyter


This tutorial aims to illustrate how to compute a fast-growth mutation free energy calculation, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the Staphylococcal nuclease protein (PDB code 1STN), a small, minimal protein, appropriate for a short tutorial.

Workflow engine is a jupyter notebook. Auxiliary libraries used are nb_conda_kernels, os, and plotly. Environment setup can be carried out using the environment.yml in the code repository. The tutorial uses docker for running pmx - a local setup can be used instead, see notes in the tutorial.



Workflow Input files needed:

  • stateA_traj: Equilibrium trajectory for the WT protein.

  • stateB_traj: Equilibrium trajectory for the Mutated protein.

  • stateA_tpr: WT protein topology (GROMACS tpr format).

  • stateB_tpr: Mutated protein topology (GROMACS tpr format).

Auxiliar force field libraries needed:

  • mutff45 (folder): pmx mutation force field libraries.


  • pmx.outputs: Final free energy estimation. Summary of information got applying the different methods.

  • pmx.plots.png: Final free energy plot of the Mutation free energy pipeline.

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Views: 750   Downloads: 26

Created: 15th Sep 2020 at 12:56

Last updated: 8th Jul 2021 at 10:07

Last used: 17th Oct 2021 at 01:45

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Version History

Version 3 (latest) Created 1st Jul 2021 at 11:33 by Douglas Lowe

Updated to BioBB 3.6.0. Taken from Git commit f329e83

Version 2 Created 7th May 2021 at 14:22 by Douglas Lowe

Updated for GROMACS 2020.4 and BioExcel Building Blocks version 3.5. Taken from Git commit ba3c37d

Version 1 (earliest) Created 15th Sep 2020 at 12:56 by Douglas Lowe

Initial commit. Taken from Git commit 3272c52

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